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Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors

AIMS: To stipulate a new definition for long-stay patients (LSPs) in pediatric intensive care unit (PICU). We defined LSPs as the 10% of patients with the longest PICU length-of-stay (LOS) for each age and diagnostic group. To assess whether the thresholds (days of PICU stay) for the definition of L...

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Autores principales: Polito, Angelo, Combescure, Christophe, Levy-Jamet, Yann, Rimensberger, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774522/
https://www.ncbi.nlm.nih.gov/pubmed/31577836
http://dx.doi.org/10.1371/journal.pone.0223369
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author Polito, Angelo
Combescure, Christophe
Levy-Jamet, Yann
Rimensberger, Peter
author_facet Polito, Angelo
Combescure, Christophe
Levy-Jamet, Yann
Rimensberger, Peter
author_sort Polito, Angelo
collection PubMed
description AIMS: To stipulate a new definition for long-stay patients (LSPs) in pediatric intensive care unit (PICU). We defined LSPs as the 10% of patients with the longest PICU length-of-stay (LOS) for each age and diagnostic group. To assess whether the thresholds (days of PICU stay) for the definition of LSPs in PICU significantly differ among diagnostic and age categories. To determine whether independent associations exist between patients’ characteristics at admission and LSPs diagnosis in pre-specified diagnostic and age groups. METHODS: This was a multicenter retrospective cohort study including all PICUs in Switzerland. Multivariable regression analysis was used to seek for association between patients’ variables at admission and LSPs RESULTS: We included 22,284 patients with a median (IQR) age of 12 (1–84) months. Significantly different thresholds across diagnostic and age subgroups are identified. Readmission to PICU, higher PIM2 and NEMS (a score used to quantify nursing workload at intensive care unit level) at admission were associated with higher likelihood of becoming LSPs. CONCLUSIONS: Our results showed a significantly different definitions of LSPs for specific diagnoses and age categories. Readmission to PICU and higher acuity at admission are associated with longer PICU length-of-stay in the majority of diagnostic groups. A more personalized definition of LSPs in children based on actual patients’ characteristics should probably be used in an effort to optimize care and reduce costs.
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spelling pubmed-67745222019-10-12 Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors Polito, Angelo Combescure, Christophe Levy-Jamet, Yann Rimensberger, Peter PLoS One Research Article AIMS: To stipulate a new definition for long-stay patients (LSPs) in pediatric intensive care unit (PICU). We defined LSPs as the 10% of patients with the longest PICU length-of-stay (LOS) for each age and diagnostic group. To assess whether the thresholds (days of PICU stay) for the definition of LSPs in PICU significantly differ among diagnostic and age categories. To determine whether independent associations exist between patients’ characteristics at admission and LSPs diagnosis in pre-specified diagnostic and age groups. METHODS: This was a multicenter retrospective cohort study including all PICUs in Switzerland. Multivariable regression analysis was used to seek for association between patients’ variables at admission and LSPs RESULTS: We included 22,284 patients with a median (IQR) age of 12 (1–84) months. Significantly different thresholds across diagnostic and age subgroups are identified. Readmission to PICU, higher PIM2 and NEMS (a score used to quantify nursing workload at intensive care unit level) at admission were associated with higher likelihood of becoming LSPs. CONCLUSIONS: Our results showed a significantly different definitions of LSPs for specific diagnoses and age categories. Readmission to PICU and higher acuity at admission are associated with longer PICU length-of-stay in the majority of diagnostic groups. A more personalized definition of LSPs in children based on actual patients’ characteristics should probably be used in an effort to optimize care and reduce costs. Public Library of Science 2019-10-02 /pmc/articles/PMC6774522/ /pubmed/31577836 http://dx.doi.org/10.1371/journal.pone.0223369 Text en © 2019 Polito et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Polito, Angelo
Combescure, Christophe
Levy-Jamet, Yann
Rimensberger, Peter
Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors
title Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors
title_full Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors
title_fullStr Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors
title_full_unstemmed Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors
title_short Long-stay patients in pediatric intensive care unit: Diagnostic-specific definition and predictors
title_sort long-stay patients in pediatric intensive care unit: diagnostic-specific definition and predictors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774522/
https://www.ncbi.nlm.nih.gov/pubmed/31577836
http://dx.doi.org/10.1371/journal.pone.0223369
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